25-08-2017, 09:32 PM
IMPLEMENTATION OF A NEWTON-BASED OPTIMAL
POWER FLOW INTO A POWER SYSTEM
IMPLEMENTATION OF ANEWTON-BASEDOPTIMALPOWER.pdf (Size: 346.74 KB / Downloads: 219)
ABSTRACT
In this thesis, a Newton-based optimal power flow (OPF) is developed for implementation
into a power system simulation environment. The OPF performs all system control while
maintaining system security. System controls include generator megawatt outputs, transformer
taps, and transformer phase shifts, while maintenance of system security ensures that no power
system component’s limits are violated. Special attention is paid to the heuristics important to
creating an OPF which achieves solution in a rapid manner.
INTRODUCTION
Motivation
Throughout the entire world, the electric power industry has undergone a considerable change
in the past decade and will continue to do so for the next several decades. In the past the electric
power industry has been either a government-controlled or a government-regulated industry
which existed as a monopoly in its service region. All people, businesses, and industries were
required to purchase their power from the local monopolistic power company. This was not only
a legal requirement, but a physical engineering requirement as well. It just didn’t appear feasible
to duplicate the resources required to connect everyone to the power grid.
Goals of the OPF
Before beginning the creation of an OPF, it is useful to consider the goals that the OPF will
need to accomplish. The primary goal of a generic OPF is to minimize the costs of meeting the
load demand for a power system while maintaining the security of the system. The costs
associated with the power system may depend on the situation, but in general they can be
attributed to the cost of generating power (megawatts) at each generator. From the viewpoint of
an OPF, the maintenance of system security requires keeping each device in the power system
within its desired operation range at steady-state.
Overview
The OPF program written in conjunction with this thesis uses Newton’s method as its
solution algorithm. It will tackle all of the goals set forth for an OPF except the control of
switched shunts and other FACTS devices. The control of these may be added at a later time as
desired.
The remainder of this thesis will discuss the development of the OPF. Chapter 2 of this
thesis will discuss the theory of the Newton-based optimal power flow. It will lay a framework
for the mathematics and engineering behind the OPF computer source code. Chapter 3 will
discuss some special heuristics important to creating an OPF which achieves solution in a rapid
manner. Chapter 4 will show several sample applications of the OPF.