When you're converting an optimisation problem from general form to standard form, this is how you deal with variables which have no sign constraints.
If $x$ is a variable without a sign constraint, that means that $x$ can take on both positive and negative values. So both $x \geq 0$ and $x < 0$ are possible. But in standard form, we want all our variables to be non-negative. To deal with this problem, we introduce two variables in place of $x$, both of which are positive such that $x$ could take the whole spectrum of positive and negative values.
If we write $x = x^+ - x^-$ where both $x^+, x^- \geq 0$ are non negative, then if $x^+ \geq x^-\ , x \geq 0$ and if $x^- < x^+ \ ,x <0$. This way we meet the criteria for converting our variable (variables) into standard form.