{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# DCOPF Verification" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "\n", "For test cases, DCOPF results from AMS are identical to that from PYPOWER.\n", "\n", "NOTE: This verification works with PYPOWER ***v5.1.16***, where ***v5.1.17*** yields unexpected results." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "import ams\n", "import andes\n", "\n", "import pypower.api as pyp" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "ams.config_logger(stream_level=40)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generator Output" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using built-in MATPOWER cases as inputs." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "cases = [\n", " ams.get_case('matpower/case14.m'),\n", " ams.get_case('matpower/case39.m'),\n", " ams.get_case('matpower/case118.m'),\n", " ams.get_case('npcc/npcc.m'),\n", " ams.get_case('wecc/wecc.m'),\n", " ams.get_case('matpower/case300.m'),]\n", "\n", "case_names = [case.split('/')[-1].split('.')[0] for case in cases]" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "ams_obj = np.zeros(len(cases))\n", "pyp_obj = np.zeros(len(cases))\n", "\n", "for i, case in enumerate(cases):\n", " sp = ams.load(case, setup=True, no_output=True)\n", " sp.DCOPF.init()\n", " sp.DCOPF.run(solver='CLARABEL')\n", " ams_obj[i] = sp.DCOPF.obj.v\n", "\n", " ppc = ams.io.pypower.system2ppc(sp)\n", " ppopt = pyp.ppoption(VERBOSE=0, OUT_ALL=0, PF_ALG=1, OPF_ALG_DC=200)\n", " ppc_sol = pyp.rundcopf(ppc, ppopt)\n", " pyp_obj[i] = ppc_sol['f']" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.allclose(ams_obj, pyp_obj, atol=1e-6)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## LMP" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "sp2 = ams.load(ams.get_case('pglib/pglib_opf_case39_epri__api.m'),\n", " setup=True,\n", " no_output=True,\n", " default_config=True)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sp2.DCOPF.run(solver='CLARABEL')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "ppc2 = ams.io.pypower.system2ppc(sp2)\n", "ppc2_sol = pyp.rundcopf(ppc2, ppopt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nodal price" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.allclose(sp2.DCOPF.pi.v / sp2.config.mva,\n", " ppc2_sol['bus'][:, 13],\n", " atol=1e-6)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bus angle" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "np.allclose(sp2.DCOPF.aBus.v * andes.shared.rad2deg,\n", " ppc2_sol['bus'][:, 8],\n", " atol=1e-6)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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